Sistemas inteligentes para monitoramento e diagnósticos de falhas em motores de indução trifásicos / Intelligent systems for faults monitoring and diagnosis in three-phase induction motors

AUTOR(ES)
FONTE

IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia

DATA DE PUBLICAÇÃO

11/04/2012

RESUMO

The objective of this thesis consists of the implementation of intelligent systems for three-phase induction motors fault diagnosis and condition monitoring. Therefore, an experimental test stand for stator winding inter-turn short circuit faults, broken rotor bar in squirrel cage and, finally, defective wheel bearing has been designed. The main focus is to propose a neural network approach, which uses spectral frequency analysis and principal component analysis techniques to detect broken rotor bar in squirrel cage induction motor. Induction motor operating at different load torque conditions and supplied with sinusoidal voltage supply and three-phase inverter at different frequency was considered in the experiment for methodology evaluation.

ASSUNTO(S)

monitoring system motor de indução trifásico redes neurais artificiais sistemas de monitoramento sistemas inteligentes three-phase induction motor artificial neural networks faults diagnosis and identification identificação e diagnóstico de falhas intelligent system

ACESSO AO ARTIGO

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